Bibliometric Analysis Platform
A self-hosted, open-data research intelligence platform with cross-filtering dashboards, co-authorship networks, AI-generated researcher profiles, and grant search across millions of records. No recurring licence fees. You own the infrastructure.
five analytical dimensions
What it does
Platforms like InCites and SciVal provide useful bibliometric coverage, but they come with annual subscriptions, fixed indicator sets, and limited configurability. This platform gives you a configurable analytical environment you deploy on your own infrastructure — with metrics defined around what your organisation actually cares about.
It works at any scale: from a few hundred publications in a targeted programme evaluation to hundreds of thousands across an entire research landscape. Feed it DOIs, ORCIDs, researcher names, funder identifiers, or OpenAlex filter queries — and it returns a full analytical picture across publication trends, citation distributions, open access breakdowns, international and industry collaboration rates, topic landscapes, and co-authorship network structure. A separate grant search module lets you query millions of grants from NIH, NSF, UKRI, NIHR, Wellcome Trust, European Commission, and other major funders with the same analytical interface.
Every chart cross-filters every other chart: click a topic to filter the world map, the institutions table, and the citation distributions simultaneously. This is genuine exploratory analysis, not static reporting.
Deployed and in use
Earlier versions of the platform were built for the British Heart Foundation and Leukemia UK, each configured for their specific portfolio evaluation needs. The current version — significantly expanded in scope and capability — is being developed for a large charitable research funder. Each deployment has been shaped by the analytical requirements of the client, and the architecture has matured through these real engagements.
How it works
Input
Upload a list of DOIs or researcher names, run a keyword search, enter a funder identifier, or write an OpenAlex API filter query directly. The system supports multiple input methods, normalises and validates identifiers, and handles author disambiguation automatically.
Enrich
An automated pipeline fetches metadata from OpenAlex, enriches it with NIH citation benchmarks via iCite, policy citation data from Overton, and funder-to-publication linkages from EuropePMC. Results are disaggregated to author level and 30+ indicators are calculated across productivity, impact, collaboration, topics, and open access.
Explore
A React dashboard with full cross-filtering lets you drill into the data across three views: portfolio-level analysis (with researcher and organisation breakdowns), co-authorship network visualisation, and AI-powered researcher profiling with automated web search. Compare two portfolios side by side. Export everything.
Key capabilities
Cross-filtering dashboard
Publication trends, citation distributions, topic breakdowns, OA status, world map, and institution tables — all linked. Click any element to filter the rest. Drill from portfolio-level summaries down to individual researchers and organisations.
Configurable metric set
Bespoke metrics across multiple dimensions: productivity, impact, collaboration, topics, and more — based on what you care about. Metrics and flags are defined with you during setup.
Co-authorship networks
Force-directed network graph with nodes coloured by sector and country, sized by output, and linked by collaboration frequency. Pan, zoom, search, and highlight individual neighbourhoods to explore collaboration structure.
AI-powered researcher profiling
Select researchers from the dashboard and generate LLM-powered narrative profiles that combine publication-level analysis with automated web search — surfacing current roles, sector affiliations, leadership positions, and policy involvement.
Portfolio comparison
Run two analyses side by side with synchronised metrics and delta indicators. Compare funding programmes, organisations, time periods, or your portfolio against the broader landscape — on every dimension simultaneously.
Grant search & analytics
Boolean search across millions of grants from NIH, NSF, UKRI, NIHR, Wellcome Trust, European Commission, and other funders. Filter by funder, amount, and date range. Analyse results by funder, country, year, institution, and award size — using the same interactive interface as the publication dashboard.
Built on open data
The platform draws from multiple open sources so there are no recurring data licence fees. It runs on your infrastructure, keeping institutional data under your control. For a technical deep-dive into this open-data approach, see how our patent citation pipeline processes 142 million patents without any proprietary dependencies.
The architecture is modular: indicators, flags, pipeline stages, and dashboard views can be added or adjusted without rebuilding. Each deployment is configured to the client's requirements — which metrics to surface, how thresholds and flags are defined, which input methods to expose, and how the interface is organised.
How we work together
I help you define the metrics and analytical views that matter for your use case, then build and deploy a configured instance on your infrastructure. You receive a perpetual licence — no annual renewals, no per-seat fees. I offer ongoing support for updates and feature development as the platform continues to evolve, but you can also operate it independently.
Who it's for
Research organisations, institutional research offices, and strategy teams who need comprehensive bibliometric analysis beyond what standard subscription platforms offer — and who want to own their analytical infrastructure, define their own indicator sets, and run analyses across both their own portfolios and the wider research landscape.
Interested in the Bibliometric Platform?
I'd be happy to walk you through a demo and discuss how it could be configured for your organisation.